from collections import OrderedDict
from typing import Mapping

from ...configuration_utils import PretrainedConfig
from ...onnx import OnnxConfig
from ...utils import logging


_SCREAMING_SNAKE_CASE 		=      logging.get_logger(__name__)

_SCREAMING_SNAKE_CASE 		=      {
    """camembert-base""": """https://huggingface.co/camembert-base/resolve/main/config.json""",
    """umberto-commoncrawl-cased-v1""": (
        """https://huggingface.co/Musixmatch/umberto-commoncrawl-cased-v1/resolve/main/config.json"""
    ),
    """umberto-wikipedia-uncased-v1""": (
        """https://huggingface.co/Musixmatch/umberto-wikipedia-uncased-v1/resolve/main/config.json"""
    ),
}
class SCREAMING_SNAKE_CASE_		(      __lowerCAmelCase		):
   __lowerCAmelCase           =				"""camembert"""







   def __init__(     self						:						List[str]   ,   lowerCamelCase_						:						Union[str, Any]=3_0522   ,   lowerCamelCase_						:						Optional[int]=768   ,   lowerCamelCase_						:						Dict=12   ,   lowerCamelCase_						:						List[str]=12   ,   lowerCamelCase_						:						Optional[Any]=3072   ,   lowerCamelCase_						:						Dict="gelu"   ,   lowerCamelCase_						:						str=0.1   ,   lowerCamelCase_						:						Union[str, Any]=0.1   ,   lowerCamelCase_						:						Optional[int]=512   ,   lowerCamelCase_						:						Optional[Any]=2   ,   lowerCamelCase_						:						int=0.0_2   ,   lowerCamelCase_						:						Union[str, Any]=1E-12   ,   lowerCamelCase_						:						Tuple=1   ,   lowerCamelCase_						:						Optional[Any]=0   ,   lowerCamelCase_						:						List[str]=2   ,   lowerCamelCase_						:						Optional[Any]="absolute"   ,   lowerCamelCase_						:						List[Any]=True   ,   lowerCamelCase_						:						Optional[int]=None   ,   **lowerCamelCase_						:						Optional[int]   ,   ):





    """simple docstring"""


    super().__init__(pad_token_id=lowerCamelCase_   ,   bos_token_id=lowerCamelCase_   ,   eos_token_id=lowerCamelCase_   ,   **lowerCamelCase_				)

    UpperCamelCase			  =      vocab_size
    UpperCamelCase			  =      hidden_size
    UpperCamelCase			  =      num_hidden_layers
    UpperCamelCase			  =      num_attention_heads
    UpperCamelCase			  =      hidden_act
    UpperCamelCase			  =      intermediate_size
    UpperCamelCase			  =      hidden_dropout_prob
    UpperCamelCase			  =      attention_probs_dropout_prob
    UpperCamelCase			  =      max_position_embeddings
    UpperCamelCase			  =      type_vocab_size
    UpperCamelCase			  =      initializer_range
    UpperCamelCase			  =      layer_norm_eps
    UpperCamelCase			  =      position_embedding_type
    UpperCamelCase			  =      use_cache
    UpperCamelCase			  =      classifier_dropout





class SCREAMING_SNAKE_CASE_		(      __lowerCAmelCase		):







   @property
   def 						lowerCamelCase_	(     self						:						Any				):





    """simple docstring"""


    if self.task == "multiple-choice":
     UpperCamelCase			  =      {0: """batch""", 1: """choice""", 2: """sequence"""}
    else:
     UpperCamelCase			  =      {0: """batch""", 1: """sequence"""}
    return OrderedDict(
        [
            ("""input_ids""", dynamic_axis),
            ("""attention_mask""", dynamic_axis),
        ]				)

from __future__ import annotations
class SCREAMING_SNAKE_CASE_		:







   def __init__(     self						:						Dict   ,   lowerCamelCase_						:						str   ,   lowerCamelCase_						:						str				):





    """simple docstring"""


    UpperCamelCase  ,     UpperCamelCase			  =      text, pattern
    UpperCamelCase  ,     UpperCamelCase			  =      len(lowerCamelCase_				), len(lowerCamelCase_				)







   def 						lowerCamelCase_	(     self						:						List[Any]   ,   lowerCamelCase_						:						str				):





    """simple docstring"""


    for i in range(self.patLen - 1   ,   -1   ,   -1				):
     if char == self.pattern[i]:
      return i
    return -1







   def 						lowerCamelCase_	(     self						:						Union[str, Any]   ,   lowerCamelCase_						:						int				):





    """simple docstring"""


    for i in range(self.patLen - 1   ,   -1   ,   -1				):
     if self.pattern[i] != self.text[current_pos + i]:
      return current_pos + i
    return -1







   def 						lowerCamelCase_	(     self						:						Union[str, Any]				):





    """simple docstring"""


    UpperCamelCase			  =      []
    for i in range(self.textLen - self.patLen + 1				):
     UpperCamelCase			  =      self.mismatch_in_text(lowerCamelCase_				)
     if mismatch_index == -1:
      positions.append(lowerCamelCase_				)
     else:
      UpperCamelCase			  =      self.match_in_pattern(self.text[mismatch_index]				)
      UpperCamelCase			  =      (
          mismatch_index - match_index
      )  # shifting index lgtm [py/multiple-definition]
    return positions





_SCREAMING_SNAKE_CASE 		=      """ABAABA"""
_SCREAMING_SNAKE_CASE 		=      """AB"""
_SCREAMING_SNAKE_CASE 		=      BoyerMooreSearch(text, pattern)
_SCREAMING_SNAKE_CASE 		=      bms.bad_character_heuristic()

if len(positions) == 0:
     print("""No match found""")
else:
     print("""Pattern found in following positions: """)
     print(positions)
